EUDML | Convergence of approximation processes on convex cones.

Skip to main content (access key 's'), Skip to navigation (access key 'n'), Accessibility information (access key '0')

Displaying similar documents to “Convergence of approximation processes on convex cones.”

Approximation of continuous convex-cone-valued functions by monotone operators

João Prolla (1992)

Studia Mathematica

Similarity:

In this paper we study the approximation of continuous functions F, defined on a compact Hausdorff space S, whose values F(t), for each t in S, are convex subsets of a normed space E. Both quantitative estimates (in the Hausdorff semimetric) and Bohman-Korovkin type approximation theorems for sequences of monotone operators are obtained.

Convex cones and convex sets

Nachbin, Leopoldo (1993)

Portugaliae mathematica

Similarity:

Families of convex sets closed under intersections, homotheties and uniting increasing sequences of sets

Marek Lassak (1984)

Fundamenta Mathematicae

Similarity:

Correct Soltan-Vasiloi criterion for convex cones.

Cel, Jaroslav (1999)

Beiträge zur Algebra und Geometrie

Similarity:

New concepts in nondifferentiable programming

J-B. Hiriart-Urruty (1979)

Mémoires de la Société Mathématique de France

Similarity:

On Tucker's key theorem.

Berman, Abraham, Tarsy, Michael (1978)

International Journal of Mathematics and Mathematical Sciences

Similarity:

Efficiency and Choquet boundaries in separated locally convex spaces.

Postolică, Vasile (2004)

International Journal of Mathematics and Mathematical Sciences

Similarity:

Supergeneric results and Gateâux differentiability of convex and Lipschitz functions on small sets

Luděk Zajíček (1997)

Acta Universitatis Carolinae. Mathematica et Physica

Similarity:

Integral representations in conuclear cones.

Thomas, Erik G.F. (1994)

Journal of Convex Analysis

Similarity:

Characterizations of metric projections in Banach spaces and applications.

Penot, Jean-Paul, Ratsimahalo, Robert (1998)

Abstract and Applied Analysis

Similarity: